Pages that link to "Item:Q2020898"
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The following pages link to Adaptive hyper reduction for additive manufacturing thermal fluid analysis (Q2020898):
Displaying 11 items.
- Adaptive wavelet compression of large additive manufacturing experimental and simulation datasets (Q670375) (← links)
- An adaptive integration scheme for heat conduction in additive manufacturing (Q1985156) (← links)
- Data-driven prognostic model for temperature field in additive manufacturing based on the high-fidelity thermal-fluid flow simulation (Q2138688) (← links)
- Reduced order modeling via PGD for highly transient thermal evolutions in additive manufacturing (Q2174151) (← links)
- Extended tensor decomposition model reduction methods: training, prediction, and design under uncertainty (Q6120135) (← links)
- Isogeometric convolution hierarchical deep-learning neural network: isogeometric analysis with versatile adaptivity (Q6147044) (← links)
- An introduction to kernel and operator learning methods for homogenization by self-consistent clustering analysis (Q6159333) (← links)
- Convolution hierarchical deep-learning neural networks (C-HiDeNN): finite elements, isogeometric analysis, tensor decomposition, and beyond (Q6164266) (← links)
- Hybrid thermal modeling of additive manufacturing processes using physics-informed neural networks for temperature prediction and parameter identification (Q6164278) (← links)
- A process-based inherent strain method for prediction of deformation and residual stress for wire-arc directed energy deposition (Q6558959) (← links)
- Convolution tensor decomposition for efficient high-resolution solutions to the Allen-Cahn equation (Q6663325) (← links)
